Researchers propose a machine learning model that identifies a new Al–Si–Ru i-QC phase. With the potential for extended applications for identification of other structures like decagonal and ...
In a pioneering move, Tokyo University of Science has made a remarkable stride in material science. Their latest development involves a deep learning model adept at pinpointing new quasicrystalline ...
insights from industryDr. Mark ColemanEBSD Product ManagerOxford Instruments In this interview, AZoMaterials speaks with Dr. Mark Coleman, EBSD Product Manager at Oxford Instruments NanoAnalysis, ...
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